Is swift-1.5-27b-turbo good for agentic (tool-using) tasks?

In our benchmarks, swift-1.5-27b-turbo scores 88.4/100 for agentic workflows. It runs at about 158.6 tok/s, so if you want more speed, swift-1.5-qwen3.8-flash-next-iq3_s is faster (~259.0 tok/s) and still scores well for agentic workflows (88.9/100).

How fast is swift-1.5-27b-turbo for local inference?

Across 2 community benchmark runs, swift-1.5-27b-turbo reaches up to 159.9 tok/s and averages 158.6 tok/s, with the fastest results on AMD Radeon AI PRO R9700.

Which tools have been used to run swift-1.5-27b-turbo?

Benchmarks were submitted using radiance. Results are community-contributed and updated as new runs arrive.

Model benchmarks

swift-1.5-27b-turbo local LLM performance

As of November 2026, swift-1.5-27b-turbo runs at up to 159.9 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

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Model size

27B

Peak speed

159.9 tok/s

Average speed

158.6 tok/s

Avg PP

3457.9 tok/s

Min memory

n/a

Max context

65,536 tokens

Avg output / run

52,338 tokens

Avg runtime / run

5m 9s

Avg quality

87.2

Benchmark runs

GPUs tested

Quality by task

Average LLM-judged quality (0–100) with the run-to-run spread shown as a P5–P95 band, overall and for each benchmark task, across all 2 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.

Task	P5 (low)	Avg	P95 (high)
Overall	86.6	87.2	87.7
Agent Workflow	87.5	88.4	89.3
Code Generation	80.7	83.0	85.2
Role Play & Narrative	87.7	89.1	90.4
Research & Analysis	87.8	88.2	88.7

Performance by hardware and tool

Every hardware/tool/quantization combination swift-1.5-27b-turbo has been benchmarked on, ranked by peak token generation speed. Last updated November 2026.

Hardware	Tool	Quant	Best tok/s	Avg tok/s	Memory	Context	Quality	Runs
AMD Radeon AI PRO R9700	radiance	—	159.9 tok/s	158.6 tok/s	n/a	65,536 tokens	87.2	2

Benchmark runs

All 2 swift-1.5-27b-turbo runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

Is swift-1.5-27b-turbo good for agentic (tool-using) tasks?: In our benchmarks, swift-1.5-27b-turbo scores 88.4/100 for agentic workflows. It runs at about 158.6 tok/s, so if you want more speed, swift-1.5-qwen3.8-flash-next-iq3_s is faster (~259.0 tok/s) and still scores well for agentic workflows (88.9/100).
How fast is swift-1.5-27b-turbo for local inference?: Across 2 community benchmark runs, swift-1.5-27b-turbo reaches up to 159.9 tok/s and averages 158.6 tok/s, with the fastest results on AMD Radeon AI PRO R9700.
Which tools have been used to run swift-1.5-27b-turbo?: Benchmarks were submitted using radiance. Results are community-contributed and updated as new runs arrive.